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Neo4j Aura Graph Analytics

Platform

by Neo4j

Serverless graph analytics on any data platform with no ETL: run graph algorithms on data from AuraDB or other sources, billed per GB-hour used.

Find alternatives to Neo4j Aura Graph Analytics

What it does

• Data analysis

Features 4

• Pre-Built Graph AlgorithmsProvides 65+ ready-to-use algorithms for community detection, pathfinding, similarity and more.
• Any Data SourceCreates graph projections against any data source using Pandas DataFrames.
• Native AuraDB IntegrationConnects directly to AuraDB via the bolt protocol and uses Cypher to create subgraphs for analysis.
• Separate Compute and Storage ScalingScales compute and storage separately to optimize infrastructure costs.

Sources

Pricing

Pricing page · 9 Oct 2026

"$0.40/GB/hour", up to 512 GB of RAM; a generic "Start free" button is not recorded as a free tier.

Description

Official documentation · 9 Oct 2026

"Run graph algorithms on any data, any cloud"; "Only pay for what you use with serverless, scalable analytics."

What it does

Official documentation · 9 Oct 2026

Graph analytics over data from AuraDB ("Connect directly to AuraDB via the bolt protocol and use Cypher to create subgraphs for analysis") and other platforms.

Sold within

Pricing page · 9 Oct 2026

Own line on the pricing page: Aura Graph Analytics "$0.40/GB/hour"; the product page links Sign up to the console. The page states no parent product.

URL

Official documentation · 9 Oct 2026

Own product page, read 2026-10-09: "Uncover deeper insights with powerful graph analytics on any cloud, any data platform. Zero ETL required."

Deployment

Official documentation · 9 Oct 2026

Listed under Fully-Managed; serverless on any cloud.

Interfaces

Platform listing · 14 Oct 2026

PyPI listing published by Neo4j: 'pip install graphdatascience'.

Modalities

Official documentation · 12 Oct 2026

Page: 'Load your data into a session via a remote projection / Write the results back to the original data source using remote write-back'.

Intended for

Official documentation · 13 Oct 2026

Page: 'Create graph projections against any data source using Pandas DataFrames'.

Also from Neo4j

• Neo4j Aura Agent Agent platform

  Low-code builder for agents grounded in a Neo4j knowledge graph, run as managed endpoints on Aura.

• Neo4j Graph Data Science Platform

  Graph analytics and machine-learning library for Neo4j: 65+ graph algorithms, node embeddings and graph-native ML pipelines for clustering, similarity and classification.

• GraphAware Hume Application

  Graph-powered intelligence analysis platform for government and enterprise, connecting people, organizations, locations and events into a shared intelligence picture; positioned as an open-standard alternative to Palantir Gotham.

• Neo4j AuraDB Platform

  Fully managed Neo4j graph database in the cloud, with a vector index for GenAI and GraphRAG retrieval; Free, Professional, Business Critical and Virtual Dedicated Cloud tiers.

• Neo4j LLM Knowledge Graph Builder Application

  Neo4j LLM Knowledge Graph Builder uses machine-learning models to transform documents into knowledge graphs of entities and relationships.

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